Pandas Profiling Report

Dataset statistics

Number of variables	23
Number of observations	721
Missing cells	978
Missing cells (%)	5.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	114.9 KiB
Average record size in memory	163.2 B

Variable types

Numeric	13
Categorical	7
Boolean	3

Alerts

`Name` has a high cardinality: 721 distinct values	High cardinality
`Number` is highly correlated with `Type_2` and 2 other fields	High correlation
`Total` is highly correlated with `HP` and 10 other fields	High correlation
`HP` is highly correlated with `Total` and 5 other fields	High correlation
`Attack` is highly correlated with `Total` and 4 other fields	High correlation
`Defense` is highly correlated with `Total` and 4 other fields	High correlation
`Sp_Atk` is highly correlated with `Total` and 5 other fields	High correlation
`Sp_Def` is highly correlated with `Total` and 2 other fields	High correlation
`Speed` is highly correlated with `Total` and 1 other fields	High correlation
`Generation` is highly correlated with `Number` and 1 other fields	High correlation
`Pr_Male` is highly correlated with `Type_1` and 2 other fields	High correlation
`Height_m` is highly correlated with `Total` and 2 other fields	High correlation
`Weight_kg` is highly correlated with `HP` and 1 other fields	High correlation
`Catch_Rate` is highly correlated with `Total` and 6 other fields	High correlation
`isLegendary` is highly correlated with `Total` and 4 other fields	High correlation
`hasGender` is highly correlated with `Total` and 4 other fields	High correlation
`Egg_Group_1` is highly correlated with `Type_1` and 9 other fields	High correlation
`Egg_Group_2` is highly correlated with `Number` and 5 other fields	High correlation
`Type_1` is highly correlated with `Type_2` and 5 other fields	High correlation
`Type_2` is highly correlated with `Number` and 7 other fields	High correlation
`Color` is highly correlated with `Type_1` and 3 other fields	High correlation
`Body_Style` is highly correlated with `Type_1` and 3 other fields	High correlation
`Type_2` has 371 (51.5%) missing values	Missing
`Pr_Male` has 77 (10.7%) missing values	Missing
`Egg_Group_2` has 530 (73.5%) missing values	Missing
`Number` is uniformly distributed	Uniform
`Name` is uniformly distributed	Uniform
`Number` has unique values	Unique
`Name` has unique values	Unique
`Pr_Male` has 23 (3.2%) zeros	Zeros

Reproduction

Analysis started	2022-11-14 01:12:52.766023
Analysis finished	2022-11-14 01:13:10.055021
Duration	17.29 seconds
Software version	pandas-profiling v3.4.0
Download configuration	config.json

Number
Real number (ℝ_≥0)

HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	721
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	361

Minimum	1
Maximum	721
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.8 KiB

Quantile statistics

Minimum	1
5-th percentile	37
Q1	181
median	361
Q3	541
95-th percentile	685
Maximum	721
Range	720
Interquartile range (IQR)	360

Descriptive statistics

Standard deviation	208.2790596
Coefficient of variation (CV)	0.5769503036
Kurtosis	-1.2
Mean	361
Median Absolute Deviation (MAD)	180
Skewness	0
Sum	260281
Variance	43380.16667
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	0.1%
475	1	0.1%
477	1	0.1%
478	1	0.1%
479	1	0.1%
480	1	0.1%
481	1	0.1%
482	1	0.1%
483	1	0.1%
484	1	0.1%
Other values (711)	711	98.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.1%
2	1	0.1%
3	1	0.1%
4	1	0.1%
5	1	0.1%
6	1	0.1%
7	1	0.1%
8	1	0.1%
9	1	0.1%
10	1	0.1%

Value	Count	Frequency (%)
721	1	0.1%
720	1	0.1%
719	1	0.1%
718	1	0.1%
717	1	0.1%
716	1	0.1%
715	1	0.1%
714	1	0.1%
713	1	0.1%
712	1	0.1%

Name
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	721
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	5.8 KiB

Bulbasaur	1
Gallade	1
Dusknoir	1
Froslass	1
Rotom	1
Other values (716)	716

Length

Max length	11
Median length	10
Mean length	7.404993065
Min length	3

Characters and Unicode

Total characters	5339
Distinct characters	60
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	721 ?
Unique (%)	100.0%

Sample

1st row	Bulbasaur
2nd row	Ivysaur
3rd row	Venusaur
4th row	Charmander
5th row	Charmeleon

Common Values

Value	Count	Frequency (%)
Bulbasaur	1	0.1%
Gallade	1	0.1%
Dusknoir	1	0.1%
Froslass	1	0.1%
Rotom	1	0.1%
Uxie	1	0.1%
Mesprit	1	0.1%
Azelf	1	0.1%
Dialga	1	0.1%
Palkia	1	0.1%
Other values (711)	711	98.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
bulbasaur	1	0.1%
ekans	1	0.1%
metapod	1	0.1%
venusaur	1	0.1%
charmander	1	0.1%
charmeleon	1	0.1%
charizard	1	0.1%
squirtle	1	0.1%
wartortle	1	0.1%
blastoise	1	0.1%
Other values (711)	711	98.6%

Most occurring characters

Value	Count	Frequency (%)
a	481	9.0%
e	449	8.4%
o	434	8.1%
i	391	7.3%
r	390	7.3%
l	314	5.9%
n	313	5.9%
t	253	4.7%
u	210	3.9%
s	173	3.2%
Other values (50)	1931	36.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4604	86.2%
Uppercase Letter	725	13.6%
Other Punctuation	3	0.1%
Dash Punctuation	2	< 0.1%
Connector Punctuation	2	< 0.1%
Other Symbol	2	< 0.1%
Decimal Number	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	481	10.4%
e	449	9.8%
o	434	9.4%
i	391	8.5%
r	390	8.5%
l	314	6.8%
n	313	6.8%
t	253	5.5%
u	210	4.6%
s	173	3.8%
Other values (17)	1196	26.0%

Uppercase Letter

Value	Count	Frequency (%)
S	103	14.2%
M	60	8.3%
C	55	7.6%
P	48	6.6%
G	47	6.5%
D	41	5.7%
B	39	5.4%
T	37	5.1%
L	34	4.7%
A	33	4.6%
Other values (16)	228	31.4%

Other Punctuation

Value	Count	Frequency (%)
.	2	66.7%
'	1	33.3%

Other Symbol

Value	Count	Frequency (%)
♀	1	50.0%
♂	1	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	2	100.0%

Decimal Number

Value	Count	Frequency (%)
2	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5329	99.8%
Common	10	0.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	481	9.0%
e	449	8.4%
o	434	8.1%
i	391	7.3%
r	390	7.3%
l	314	5.9%
n	313	5.9%
t	253	4.7%
u	210	3.9%
s	173	3.2%
Other values (43)	1921	36.0%

Common

Value	Count	Frequency (%)
-	2	20.0%
_	2	20.0%
.	2	20.0%
♀	1	10.0%
♂	1	10.0%
'	1	10.0%
2	1	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5335	99.9%
None	2	< 0.1%
Misc Symbols	2	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	481	9.0%
e	449	8.4%
o	434	8.1%
i	391	7.3%
r	390	7.3%
l	314	5.9%
n	313	5.9%
t	253	4.7%
u	210	3.9%
s	173	3.2%
Other values (47)	1927	36.1%

None

Value	Count	Frequency (%)
é	2	100.0%

Misc Symbols

Value	Count	Frequency (%)
♀	1	50.0%
♂	1	50.0%

Type_1
Categorical

HIGH CORRELATION

Distinct	18
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Memory size	5.8 KiB

Water	105
Normal	93
Grass	66
Bug	63
Fire	47
Other values (13)	347

Length

Max length	8
Median length	7
Mean length	5.231622746
Min length	3

Characters and Unicode

Total characters	3772
Distinct characters	28
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Grass
2nd row	Grass
3rd row	Grass
4th row	Fire
5th row	Fire

Common Values

Value	Count	Frequency (%)
Water	105	14.6%
Normal	93	12.9%
Grass	66	9.2%
Bug	63	8.7%
Fire	47	6.5%
Psychic	47	6.5%
Rock	41	5.7%
Electric	36	5.0%
Ground	30	4.2%
Poison	28	3.9%
Other values (8)	165	22.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
water	105	14.6%
normal	93	12.9%
grass	66	9.2%
bug	63	8.7%
fire	47	6.5%
psychic	47	6.5%
rock	41	5.7%
electric	36	5.0%
ground	30	4.2%
dark	28	3.9%
Other values (8)	165	22.9%

Most occurring characters

Value	Count	Frequency (%)
r	446	11.8%
a	333	8.8%
o	267	7.1%
e	255	6.8%
c	230	6.1%
s	230	6.1%
i	228	6.0%
t	211	5.6%
l	154	4.1%
g	140	3.7%
Other values (18)	1278	33.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3051	80.9%
Uppercase Letter	721	19.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	446	14.6%
a	333	10.9%
o	267	8.8%
e	255	8.4%
c	230	7.5%
s	230	7.5%
i	228	7.5%
t	211	6.9%
l	154	5.0%
g	140	4.6%
Other values (7)	557	18.3%

Uppercase Letter

Value	Count	Frequency (%)
G	119	16.5%
W	105	14.6%
N	93	12.9%
F	92	12.8%
P	75	10.4%
B	63	8.7%
D	52	7.2%
R	41	5.7%
E	36	5.0%
I	23	3.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3772	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	446	11.8%
a	333	8.8%
o	267	7.1%
e	255	6.8%
c	230	6.1%
s	230	6.1%
i	228	6.0%
t	211	5.6%
l	154	4.1%
g	140	3.7%
Other values (18)	1278	33.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3772	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	446	11.8%
a	333	8.8%
o	267	7.1%
e	255	6.8%
c	230	6.1%
s	230	6.1%
i	228	6.0%
t	211	5.6%
l	154	4.1%
g	140	3.7%
Other values (18)	1278	33.9%

Type_2
Categorical

HIGH CORRELATION
MISSING

Distinct	18
Distinct (%)	5.1%
Missing	371
Missing (%)	51.5%
Memory size	5.8 KiB

Flying	87
Poison	31
Ground	30
Psychic	27
Fighting	19
Other values (13)	156

Length

Max length	8
Median length	7
Mean length	5.657142857
Min length	3

Characters and Unicode

Total characters	1980
Distinct characters	28
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Poison
2nd row	Poison
3rd row	Poison
4th row	Flying
5th row	Flying

Common Values

Value	Count	Frequency (%)
Flying	87	12.1%
Poison	31	4.3%
Ground	30	4.2%
Psychic	27	3.7%
Fighting	19	2.6%
Steel	19	2.6%
Fairy	18	2.5%
Grass	18	2.5%
Dark	16	2.2%
Dragon	14	1.9%
Other values (8)	71	9.8%
(Missing)	371	51.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
flying	87	24.9%
poison	31	8.9%
ground	30	8.6%
psychic	27	7.7%
fighting	19	5.4%
steel	19	5.4%
fairy	18	5.1%
grass	18	5.1%
dark	16	4.6%
rock	14	4.0%
Other values (8)	71	20.3%

Most occurring characters

Value	Count	Frequency (%)
i	216	10.9%
n	181	9.1%
g	142	7.2%
o	136	6.9%
F	133	6.7%
y	132	6.7%
r	128	6.5%
l	116	5.9%
s	106	5.4%
c	90	4.5%
Other values (18)	600	30.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1630	82.3%
Uppercase Letter	350	17.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	216	13.3%
n	181	11.1%
g	142	8.7%
o	136	8.3%
y	132	8.1%
r	128	7.9%
l	116	7.1%
s	106	6.5%
c	90	5.5%
a	83	5.1%
Other values (7)	300	18.4%

Uppercase Letter

Value	Count	Frequency (%)
F	133	38.0%
G	60	17.1%
P	58	16.6%
D	30	8.6%
S	19	5.4%
R	14	4.0%
W	13	3.7%
I	10	2.9%
E	6	1.7%
N	4	1.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1980	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	216	10.9%
n	181	9.1%
g	142	7.2%
o	136	6.9%
F	133	6.7%
y	132	6.7%
r	128	6.5%
l	116	5.9%
s	106	5.4%
c	90	4.5%
Other values (18)	600	30.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1980	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	216	10.9%
n	181	9.1%
g	142	7.2%
o	136	6.9%
F	133	6.7%
y	132	6.7%
r	128	6.5%
l	116	5.9%
s	106	5.4%
c	90	4.5%
Other values (18)	600	30.3%

Total
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	183
Distinct (%)	25.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	417.9459085

Minimum	180
Maximum	720
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.8 KiB

Quantile statistics

Minimum	180
5-th percentile	250
Q1	320
median	424
Q3	499
95-th percentile	600
Maximum	720
Range	540
Interquartile range (IQR)	179

Descriptive statistics

Standard deviation	109.6636707
Coefficient of variation (CV)	0.2623872337
Kurtosis	-0.6429150365
Mean	417.9459085
Median Absolute Deviation (MAD)	86
Skewness	0.06165000903
Sum	301339
Variance	12026.12068
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
405	26	3.6%
600	26	3.6%
500	23	3.2%
300	19	2.6%
580	18	2.5%
490	18	2.5%
525	16	2.2%
330	15	2.1%
495	14	1.9%
480	13	1.8%
Other values (173)	533	73.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
180	1	0.1%
190	1	0.1%
194	1	0.1%
195	3	0.4%
198	1	0.1%
200	3	0.4%
205	5	0.7%
210	3	0.4%
213	1	0.1%
215	1	0.1%

Value	Count	Frequency (%)
720	1	0.1%
680	11	1.5%
670	4	0.6%
660	1	0.1%
600	26	3.6%
580	18	2.5%
567	1	0.1%
555	1	0.1%
552	1	0.1%
550	1	0.1%

HP
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	94
Distinct (%)	13.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	68.38002774

Minimum	1
Maximum	255
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.8 KiB

Quantile statistics

Minimum	1
5-th percentile	35
Q1	50
median	65
Q3	80
95-th percentile	110
Maximum	255
Range	254
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	25.84827182
Coefficient of variation (CV)	0.3780090865
Kurtosis	7.780695862
Mean	68.38002774
Median Absolute Deviation (MAD)	15
Skewness	1.669208681
Sum	49302
Variance	668.1331561
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60	62	8.6%
50	52	7.2%
70	50	6.9%
65	42	5.8%
75	39	5.4%
40	38	5.3%
45	38	5.3%
55	35	4.9%
80	34	4.7%
100	26	3.6%
Other values (84)	305	42.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.1%
10	1	0.1%
20	6	0.8%
25	2	0.3%
28	1	0.1%
30	13	1.8%
31	1	0.1%
35	15	2.1%
36	1	0.1%
37	1	0.1%

Value	Count	Frequency (%)
255	1	0.1%
250	1	0.1%
190	1	0.1%
170	1	0.1%
165	1	0.1%
160	1	0.1%
150	3	0.4%
144	1	0.1%
140	1	0.1%
135	1	0.1%

Attack
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	100
Distinct (%)	13.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	75.01386963

Minimum	5
Maximum	165
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.8 KiB

Quantile statistics

Minimum	5
5-th percentile	30
Q1	53
median	74
Q3	95
95-th percentile	125
Maximum	165
Range	160
Interquartile range (IQR)	42

Descriptive statistics

Standard deviation	28.98447528
Coefficient of variation (CV)	0.3863882163
Kurtosis	-0.2672204814
Mean	75.01386963
Median Absolute Deviation (MAD)	21
Skewness	0.3084227737
Sum	54085
Variance	840.0998074
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
50	36	5.0%
80	36	5.0%
100	34	4.7%
65	33	4.6%
60	32	4.4%
75	30	4.2%
55	30	4.2%
70	30	4.2%
85	30	4.2%
90	29	4.0%
Other values (90)	401	55.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	2	0.3%
10	3	0.4%
15	1	0.1%
20	8	1.1%
22	1	0.1%
23	1	0.1%
24	1	0.1%
25	7	1.0%
27	1	0.1%
29	1	0.1%

Value	Count	Frequency (%)
165	1	0.1%
160	2	0.3%
150	4	0.6%
147	1	0.1%
140	4	0.6%
135	5	0.7%
134	2	0.3%
131	2	0.3%
130	12	1.7%
129	1	0.1%

Defense
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	97
Distinct (%)	13.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	70.80859917

Minimum	5
Maximum	230
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.8 KiB

Quantile statistics

Minimum	5
5-th percentile	35
Q1	50
median	65
Q3	85
95-th percentile	125
Maximum	230
Range	225
Interquartile range (IQR)	35

Descriptive statistics

Standard deviation	29.29655807
Coefficient of variation (CV)	0.4137429411
Kurtosis	2.485011986
Mean	70.80859917
Median Absolute Deviation (MAD)	17
Skewness	1.121470687
Sum	51053
Variance	858.2883148
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
70	48	6.7%
50	48	6.7%
60	44	6.1%
40	35	4.9%
65	34	4.7%
80	33	4.6%
45	32	4.4%
55	32	4.4%
90	28	3.9%
100	27	3.7%
Other values (87)	360	49.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	2	0.3%
10	1	0.1%
15	4	0.6%
20	3	0.4%
23	1	0.1%
25	2	0.3%
28	1	0.1%
30	14	1.9%
32	2	0.3%
33	1	0.1%

Value	Count	Frequency (%)
230	1	0.1%
200	2	0.3%
184	1	0.1%
180	2	0.3%
168	1	0.1%
160	1	0.1%
150	5	0.7%
145	2	0.3%
140	5	0.7%
135	2	0.3%

Sp_Atk
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	94
Distinct (%)	13.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	68.73786408

Minimum	10
Maximum	154
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.8 KiB

Quantile statistics

Minimum	10
5-th percentile	30
Q1	45
median	65
Q3	90
95-th percentile	125
Maximum	154
Range	144
Interquartile range (IQR)	45

Descriptive statistics

Standard deviation	28.78800523
Coefficient of variation (CV)	0.4188085506
Kurtosis	-0.2532792465
Mean	68.73786408
Median Absolute Deviation (MAD)	20
Skewness	0.527096951
Sum	49560
Variance	828.7492449
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60	49	6.8%
40	48	6.7%
65	41	5.7%
50	39	5.4%
45	33	4.6%
55	33	4.6%
35	29	4.0%
70	27	3.7%
85	26	3.6%
100	26	3.6%
Other values (84)	370	51.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10	3	0.4%
15	3	0.4%
20	8	1.1%
23	1	0.1%
24	2	0.3%
25	11	1.5%
27	2	0.3%
29	1	0.1%
30	24	3.3%
31	1	0.1%

Value	Count	Frequency (%)
154	1	0.1%
150	7	1.0%
145	1	0.1%
135	4	0.6%
131	2	0.3%
130	8	1.1%
129	1	0.1%
128	1	0.1%
125	13	1.8%
120	9	1.2%

Sp_Def
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	90
Distinct (%)	12.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	69.29126214

Minimum	20
Maximum	230
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.8 KiB

Quantile statistics

Minimum	20
5-th percentile	30
Q1	50
median	65
Q3	85
95-th percentile	120
Maximum	230
Range	210
Interquartile range (IQR)	35

Descriptive statistics

Standard deviation	27.01586044
Coefficient of variation (CV)	0.389888416
Kurtosis	2.391750774
Mean	69.29126214
Median Absolute Deviation (MAD)	15
Skewness	1.027758955
Sum	49959
Variance	729.8567152
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
50	49	6.8%
55	44	6.1%
65	43	6.0%
80	43	6.0%
60	42	5.8%
70	39	5.4%
75	36	5.0%
45	35	4.9%
40	30	4.2%
90	28	3.9%
Other values (80)	332	46.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20	5	0.7%
23	1	0.1%
25	11	1.5%
30	20	2.8%
31	1	0.1%
32	1	0.1%
33	1	0.1%
34	1	0.1%
35	18	2.5%
36	1	0.1%

Value	Count	Frequency (%)
230	1	0.1%
200	1	0.1%
154	3	0.4%
150	6	0.8%
140	2	0.3%
138	1	0.1%
135	3	0.4%
130	7	1.0%
129	1	0.1%
128	1	0.1%

Speed
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	101
Distinct (%)	14.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	65.71428571

Minimum	5
Maximum	160
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.8 KiB

Quantile statistics

Minimum	5
5-th percentile	25
Q1	45
median	65
Q3	85
95-th percentile	110
Maximum	160
Range	155
Interquartile range (IQR)	40

Descriptive statistics

Standard deviation	27.27792002
Coefficient of variation (CV)	0.4150987829
Kurtosis	-0.4461753239
Mean	65.71428571
Median Absolute Deviation (MAD)	20
Skewness	0.2785703359
Sum	47380
Variance	744.0849206
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
50	43	6.0%
60	43	6.0%
65	36	5.0%
70	36	5.0%
40	32	4.4%
30	32	4.4%
80	30	4.2%
55	29	4.0%
45	28	3.9%
85	27	3.7%
Other values (91)	385	53.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	2	0.3%
10	3	0.4%
15	9	1.2%
20	13	1.8%
22	1	0.1%
23	4	0.6%
24	1	0.1%
25	10	1.4%
28	4	0.6%
29	3	0.4%

Value	Count	Frequency (%)
160	1	0.1%
150	1	0.1%
145	1	0.1%
140	1	0.1%
130	4	0.6%
126	1	0.1%
125	3	0.4%
123	1	0.1%
122	1	0.1%
120	4	0.6%

Generation
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	6
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.323162275

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.8 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	5
95-th percentile	6
Maximum	6
Range	5
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.669873245
Coefficient of variation (CV)	0.502495246
Kurtosis	-1.272806254
Mean	3.323162275
Median Absolute Deviation (MAD)	2
Skewness	0.006049430946
Sum	2396
Variance	2.788476653
Monotonicity	Increasing

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
5	156	21.6%
1	151	20.9%
3	135	18.7%
4	107	14.8%
2	100	13.9%
6	72	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	151	20.9%
2	100	13.9%
3	135	18.7%
4	107	14.8%
5	156	21.6%
6	72	10.0%

Value	Count	Frequency (%)
6	72	10.0%
5	156	21.6%
4	107	14.8%
3	135	18.7%
2	100	13.9%
1	151	20.9%

isLegendary
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	849.0 B

False	675
True	46

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	675	93.6%
True	46	6.4%

Color
Categorical

HIGH CORRELATION

Distinct	10
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Memory size	5.8 KiB

Blue	134
Brown	110
Green	79
Red	75
Grey	69
Other values (5)	254

Length

Max length	6
Median length	5
Mean length	4.632454924
Min length	3

Characters and Unicode

Total characters	3340
Distinct characters	22
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Green
2nd row	Green
3rd row	Green
4th row	Red
5th row	Red

Common Values

Value	Count	Frequency (%)
Blue	134	18.6%
Brown	110	15.3%
Green	79	11.0%
Red	75	10.4%
Grey	69	9.6%
Purple	65	9.0%
Yellow	64	8.9%
White	52	7.2%
Pink	41	5.7%
Black	32	4.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
blue	134	18.6%
brown	110	15.3%
green	79	11.0%
red	75	10.4%
grey	69	9.6%
purple	65	9.0%
yellow	64	8.9%
white	52	7.2%
pink	41	5.7%
black	32	4.4%

Most occurring characters

Value	Count	Frequency (%)
e	617	18.5%
l	359	10.7%
r	323	9.7%
B	276	8.3%
n	230	6.9%
u	199	6.0%
o	174	5.2%
w	174	5.2%
G	148	4.4%
P	106	3.2%
Other values (12)	734	22.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2619	78.4%
Uppercase Letter	721	21.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	617	23.6%
l	359	13.7%
r	323	12.3%
n	230	8.8%
u	199	7.6%
o	174	6.6%
w	174	6.6%
i	93	3.6%
d	75	2.9%
k	73	2.8%
Other values (6)	302	11.5%

Uppercase Letter

Value	Count	Frequency (%)
B	276	38.3%
G	148	20.5%
P	106	14.7%
R	75	10.4%
Y	64	8.9%
W	52	7.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3340	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	617	18.5%
l	359	10.7%
r	323	9.7%
B	276	8.3%
n	230	6.9%
u	199	6.0%
o	174	5.2%
w	174	5.2%
G	148	4.4%
P	106	3.2%
Other values (12)	734	22.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3340	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	617	18.5%
l	359	10.7%
r	323	9.7%
B	276	8.3%
n	230	6.9%
u	199	6.0%
o	174	5.2%
w	174	5.2%
G	148	4.4%
P	106	3.2%
Other values (12)	734	22.0%

hasGender
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	849.0 B

True	644
False	77

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
True	644	89.3%
False	77	10.7%

Pr_Male
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	7
Distinct (%)	1.1%
Missing	77
Missing (%)	10.7%
Infinite	0
Infinite (%)	0.0%
Mean	0.5533773292

Minimum	0
Maximum	1
Zeros	23
Zeros (%)	3.2%
Negative	0
Negative (%)	0.0%
Memory size	5.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0.25
Q1	0.5
median	0.5
Q3	0.5
95-th percentile	0.875
Maximum	1
Range	1
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.1999690074
Coefficient of variation (CV)	0.3613610403
Kurtosis	1.187097992
Mean	0.5533773292
Median Absolute Deviation (MAD)	0
Skewness	0.08946599702
Sum	356.375
Variance	0.0399876039
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0.5	458	63.5%
0.875	101	14.0%
0	23	3.2%
0.25	22	3.1%
1	19	2.6%
0.75	19	2.6%
0.125	2	0.3%
(Missing)	77	10.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	23	3.2%
0.125	2	0.3%
0.25	22	3.1%
0.5	458	63.5%
0.75	19	2.6%
0.875	101	14.0%
1	19	2.6%

Value	Count	Frequency (%)
1	19	2.6%
0.875	101	14.0%
0.75	19	2.6%
0.5	458	63.5%
0.25	22	3.1%
0.125	2	0.3%
0	23	3.2%

Egg_Group_1
Categorical

HIGH CORRELATION

Distinct	15
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Memory size	5.8 KiB

Field	169
Monster	74
Water_1	74
Undiscovered	73
Bug	66
Other values (10)	265

Length

Max length	12
Median length	10
Mean length	6.703190014
Min length	3

Characters and Unicode

Total characters	4833
Distinct characters	34
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	Monster
2nd row	Monster
3rd row	Monster
4th row	Monster
5th row	Monster

Common Values

Value	Count	Frequency (%)
Field	169	23.4%
Monster	74	10.3%
Water_1	74	10.3%
Undiscovered	73	10.1%
Bug	66	9.2%
Mineral	46	6.4%
Flying	44	6.1%
Amorphous	41	5.7%
Human-Like	37	5.1%
Fairy	30	4.2%
Other values (5)	67	9.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
field	169	23.4%
monster	74	10.3%
water_1	74	10.3%
undiscovered	73	10.1%
bug	66	9.2%
mineral	46	6.4%
flying	44	6.1%
amorphous	41	5.7%
human-like	37	5.1%
fairy	30	4.2%
Other values (5)	67	9.3%

Most occurring characters

Value	Count	Frequency (%)
e	575	11.9%
r	404	8.4%
i	400	8.3%
d	315	6.5%
n	284	5.9%
l	259	5.4%
a	253	5.2%
F	243	5.0%
s	242	5.0%
o	240	5.0%
Other values (24)	1618	33.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3832	79.3%
Uppercase Letter	758	15.7%
Connector Punctuation	103	2.1%
Decimal Number	103	2.1%
Dash Punctuation	37	0.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	575	15.0%
r	404	10.5%
i	400	10.4%
d	315	8.2%
n	284	7.4%
l	259	6.8%
a	253	6.6%
s	242	6.3%
o	240	6.3%
t	179	4.7%
Other values (9)	681	17.8%

Uppercase Letter

Value	Count	Frequency (%)
F	243	32.1%
M	120	15.8%
W	103	13.6%
U	73	9.6%
B	66	8.7%
A	41	5.4%
H	37	4.9%
L	37	4.9%
G	27	3.6%
D	11	1.5%

Decimal Number

Value	Count	Frequency (%)
1	74	71.8%
2	15	14.6%
3	14	13.6%

Connector Punctuation

Value	Count	Frequency (%)
_	103	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	37	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4590	95.0%
Common	243	5.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	575	12.5%
r	404	8.8%
i	400	8.7%
d	315	6.9%
n	284	6.2%
l	259	5.6%
a	253	5.5%
F	243	5.3%
s	242	5.3%
o	240	5.2%
Other values (19)	1375	30.0%

Common

Value	Count	Frequency (%)
_	103	42.4%
1	74	30.5%
-	37	15.2%
2	15	6.2%
3	14	5.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4833	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	575	11.9%
r	404	8.4%
i	400	8.3%
d	315	6.5%
n	284	5.9%
l	259	5.4%
a	253	5.2%
F	243	5.0%
s	242	5.0%
o	240	5.0%
Other values (24)	1618	33.5%

Egg_Group_2
Categorical

HIGH CORRELATION
MISSING

Distinct	13
Distinct (%)	6.8%
Missing	530
Missing (%)	73.5%
Memory size	5.8 KiB

Dragon	35
Grass	32
Field	31
Fairy	17
Water_3	15
Other values (8)	61

Length

Max length	10
Median length	9
Mean length	6.22513089
Min length	3

Characters and Unicode

Total characters	1189
Distinct characters	31
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.5%

Sample

1st row	Grass
2nd row	Grass
3rd row	Grass
4th row	Dragon
5th row	Dragon

Common Values

Value	Count	Frequency (%)
Dragon	35	4.9%
Grass	32	4.4%
Field	31	4.3%
Fairy	17	2.4%
Water_3	15	2.1%
Human-Like	15	2.1%
Water_1	13	1.8%
Water_2	8	1.1%
Amorphous	8	1.1%
Mineral	8	1.1%
Other values (3)	9	1.2%
(Missing)	530	73.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
dragon	35	18.3%
grass	32	16.8%
field	31	16.2%
fairy	17	8.9%
water_3	15	7.9%
human-like	15	7.9%
water_1	13	6.8%
water_2	8	4.2%
amorphous	8	4.2%
mineral	8	4.2%
Other values (3)	9	4.7%

Most occurring characters

Value	Count	Frequency (%)
a	143	12.0%
r	137	11.5%
e	91	7.7%
i	77	6.5%
s	73	6.1%
n	65	5.5%
F	54	4.5%
o	52	4.4%
l	45	3.8%
g	43	3.6%
Other values (21)	409	34.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	896	75.4%
Uppercase Letter	206	17.3%
Connector Punctuation	36	3.0%
Decimal Number	36	3.0%
Dash Punctuation	15	1.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	143	16.0%
r	137	15.3%
e	91	10.2%
i	77	8.6%
s	73	8.1%
n	65	7.3%
o	52	5.8%
l	45	5.0%
g	43	4.8%
t	37	4.1%
Other values (7)	133	14.8%

Uppercase Letter

Value	Count	Frequency (%)
F	54	26.2%
W	36	17.5%
D	35	17.0%
G	32	15.5%
L	15	7.3%
H	15	7.3%
M	9	4.4%
A	8	3.9%
B	2	1.0%

Decimal Number

Value	Count	Frequency (%)
3	15	41.7%
1	13	36.1%
2	8	22.2%

Connector Punctuation

Value	Count	Frequency (%)
_	36	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	15	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1102	92.7%
Common	87	7.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	143	13.0%
r	137	12.4%
e	91	8.3%
i	77	7.0%
s	73	6.6%
n	65	5.9%
F	54	4.9%
o	52	4.7%
l	45	4.1%
g	43	3.9%
Other values (16)	322	29.2%

Common

Value	Count	Frequency (%)
_	36	41.4%
-	15	17.2%
3	15	17.2%
1	13	14.9%
2	8	9.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1189	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	143	12.0%
r	137	11.5%
e	91	7.7%
i	77	6.5%
s	73	6.1%
n	65	5.5%
F	54	4.5%
o	52	4.4%
l	45	3.8%
g	43	3.6%
Other values (21)	409	34.4%

hasMegaEvolution
Boolean

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	849.0 B

False	675
True	46

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	675	93.6%
True	46	6.4%

Height_m
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	50
Distinct (%)	6.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.144979196

Minimum	0.1
Maximum	14.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.8 KiB

Quantile statistics

Minimum	0.1
5-th percentile	0.3
Q1	0.61
median	0.99
Q3	1.4
95-th percentile	2.21
Maximum	14.5
Range	14.4
Interquartile range (IQR)	0.79

Descriptive statistics

Standard deviation	1.044368512
Coefficient of variation (CV)	0.9121288112
Kurtosis	50.12919007
Mean	1.144979196
Median Absolute Deviation (MAD)	0.41
Skewness	5.508668496
Sum	825.53
Variance	1.09070559
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.61	66	9.2%
0.99	58	8.0%
0.41	56	7.8%
0.51	56	7.8%
1.19	45	6.2%
0.3	45	6.2%
0.79	42	5.8%
1.5	41	5.7%
1.09	36	5.0%
0.71	34	4.7%
Other values (40)	242	33.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.1	2	0.3%
0.2	13	1.8%
0.3	45	6.2%
0.41	56	7.8%
0.51	56	7.8%
0.61	66	9.2%
0.71	34	4.7%
0.79	42	5.8%
0.84	1	0.1%
0.89	31	4.3%

Value	Count	Frequency (%)
14.5	1	0.1%
9.19	1	0.1%
8.79	1	0.1%
7.01	1	0.1%
6.91	1	0.1%
6.5	1	0.1%
6.2	1	0.1%
5.79	1	0.1%
5.41	1	0.1%
5.21	1	0.1%

Weight_kg
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	398
Distinct (%)	55.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	56.77337032

Minimum	0.1
Maximum	950
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.8 KiB

Quantile statistics

Minimum	0.1
5-th percentile	1.9
Q1	9.4
median	28
Q3	61
95-th percentile	220
Maximum	950
Range	949.9
Interquartile range (IQR)	51.6

Descriptive statistics

Standard deviation	89.09566682
Coefficient of variation (CV)	1.569321432
Kurtosis	23.8834292
Mean	56.77337032
Median Absolute Deviation (MAD)	21.5
Skewness	4.0086685
Sum	40933.6
Variance	7938.037845
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	9	1.2%
15	8	1.1%
8.5	8	1.1%
28	8	1.1%
30	8	1.1%
1	7	1.0%
2	7	1.0%
6.5	6	0.8%
9	6	0.8%
4	6	0.8%
Other values (388)	648	89.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.1	3	0.4%
0.3	5	0.7%
0.5	2	0.3%
0.6	3	0.4%
0.8	2	0.3%
0.9	1	0.1%
1	7	1.0%
1.1	1	0.1%
1.2	4	0.6%
1.4	1	0.1%

Value	Count	Frequency (%)
950	1	0.1%
683	1	0.1%
650	1	0.1%
550	1	0.1%
505	1	0.1%
460	1	0.1%
430	1	0.1%
420	1	0.1%
400	1	0.1%
398	1	0.1%

Catch_Rate
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	33
Distinct (%)	4.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	100.2468793

Minimum	3
Maximum	255
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.8 KiB

Quantile statistics

Minimum	3
5-th percentile	3
Q1	45
median	65
Q3	180
95-th percentile	255
Maximum	255
Range	252
Interquartile range (IQR)	135

Descriptive statistics

Standard deviation	76.57351275
Coefficient of variation (CV)	0.7638493413
Kurtosis	-0.6899958603
Mean	100.2468793
Median Absolute Deviation (MAD)	25
Skewness	0.8028081219
Sum	72278
Variance	5863.502855
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
45	223	30.9%
190	69	9.6%
255	64	8.9%
75	57	7.9%
120	51	7.1%
3	50	6.9%
60	44	6.1%
90	36	5.0%
30	19	2.6%
200	18	2.5%
Other values (23)	90	12.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	50	6.9%
15	1	0.1%
25	10	1.4%
30	19	2.6%
35	1	0.1%
45	223	30.9%
50	7	1.0%
55	3	0.4%
60	44	6.1%
65	3	0.4%

Value	Count	Frequency (%)
255	64	8.9%
235	6	0.8%
225	14	1.9%
220	2	0.3%
205	1	0.1%
200	18	2.5%
190	69	9.6%
180	10	1.4%
170	2	0.3%
160	1	0.1%

Body_Style
Categorical

HIGH CORRELATION

Distinct	14
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	5.8 KiB

bipedal_tailed	158
quadruped	135
bipedal_tailless	109
two_wings	63
head_arms	39
Other values (9)	217

Length

Max length	16
Median length	9
Mean length	11.61719834
Min length	9

Characters and Unicode

Total characters	8376
Distinct characters	23
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	quadruped
2nd row	quadruped
3rd row	quadruped
4th row	bipedal_tailed
5th row	bipedal_tailed

Common Values

Value	Count	Frequency (%)
bipedal_tailed	158	21.9%
quadruped	135	18.7%
bipedal_tailless	109	15.1%
two_wings	63	8.7%
head_arms	39	5.4%
head_only	34	4.7%
with_fins	31	4.3%
insectoid	30	4.2%
head_base	30	4.2%
serpentine_body	29	4.0%
Other values (4)	63	8.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
bipedal_tailed	158	21.9%
quadruped	135	18.7%
bipedal_tailless	109	15.1%
two_wings	63	8.7%
head_arms	39	5.4%
head_only	34	4.7%
with_fins	31	4.3%
insectoid	30	4.2%
head_base	30	4.2%
serpentine_body	29	4.0%
Other values (4)	63	8.7%

Most occurring characters

Value	Count	Frequency (%)
e	1009	12.0%
d	889	10.6%
a	871	10.4%
i	809	9.7%
l	750	9.0%
_	556	6.6%
s	516	6.2%
p	446	5.3%
t	435	5.2%
b	354	4.2%
Other values (13)	1741	20.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7820	93.4%
Connector Punctuation	556	6.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1009	12.9%
d	889	11.4%
a	871	11.1%
i	809	10.3%
l	750	9.6%
s	516	6.6%
p	446	5.7%
t	435	5.6%
b	354	4.5%
u	303	3.9%
Other values (12)	1438	18.4%

Connector Punctuation

Value	Count	Frequency (%)
_	556	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7820	93.4%
Common	556	6.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1009	12.9%
d	889	11.4%
a	871	11.1%
i	809	10.3%
l	750	9.6%
s	516	6.6%
p	446	5.7%
t	435	5.6%
b	354	4.5%
u	303	3.9%
Other values (12)	1438	18.4%

Common

Value	Count	Frequency (%)
_	556	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8376	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	1009	12.0%
d	889	10.6%
a	871	10.4%
i	809	9.7%
l	750	9.0%
_	556	6.6%
s	516	6.2%
p	446	5.3%
t	435	5.2%
b	354	4.2%
Other values (13)	1741	20.8%

Auto

The auto setting is an easily interpretable pairwise column metric of the following mapping: vartype-vartype : method, categorical-categorical : Cramer's V, numerical-categorical : Cramer's V (using a discretized numerical column), numerical-numerical : Spearman's ρ. This configuration uses the best suitable for each pair of columns.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Number	Name	Type_1	Type_2	Total	HP	Attack	Defense	Sp_Atk	Sp_Def	Speed	Generation	isLegendary	Color	hasGender	Pr_Male	Egg_Group_1	Egg_Group_2	hasMegaEvolution	Height_m	Weight_kg	Catch_Rate	Body_Style
0	1	Bulbasaur	Grass	Poison	318	45	49	49	65	65	45	1	False	Green	True	0.875	Monster	Grass	False	0.71	6.9	45	quadruped
1	2	Ivysaur	Grass	Poison	405	60	62	63	80	80	60	1	False	Green	True	0.875	Monster	Grass	False	0.99	13.0	45	quadruped
2	3	Venusaur	Grass	Poison	525	80	82	83	100	100	80	1	False	Green	True	0.875	Monster	Grass	True	2.01	100.0	45	quadruped
3	4	Charmander	Fire	NaN	309	39	52	43	60	50	65	1	False	Red	True	0.875	Monster	Dragon	False	0.61	8.5	45	bipedal_tailed
4	5	Charmeleon	Fire	NaN	405	58	64	58	80	65	80	1	False	Red	True	0.875	Monster	Dragon	False	1.09	19.0	45	bipedal_tailed
5	6	Charizard	Fire	Flying	534	78	84	78	109	85	100	1	False	Red	True	0.875	Monster	Dragon	True	1.70	90.5	45	bipedal_tailed
6	7	Squirtle	Water	NaN	314	44	48	65	50	64	43	1	False	Blue	True	0.875	Monster	Water_1	False	0.51	9.0	45	bipedal_tailed
7	8	Wartortle	Water	NaN	405	59	63	80	65	80	58	1	False	Blue	True	0.875	Monster	Water_1	False	0.99	22.5	45	bipedal_tailed
8	9	Blastoise	Water	NaN	530	79	83	100	85	105	78	1	False	Blue	True	0.875	Monster	Water_1	True	1.60	85.5	45	bipedal_tailed
9	10	Caterpie	Bug	NaN	195	45	30	35	20	20	45	1	False	Green	True	0.500	Bug	NaN	False	0.30	2.9	255	insectoid

Last rows

	Number	Name	Type_1	Type_2	Total	HP	Attack	Defense	Sp_Atk	Sp_Def	Speed	Generation	isLegendary	Color	hasGender	Pr_Male	Egg_Group_1	Egg_Group_2	hasMegaEvolution	Height_m	Weight_kg	Catch_Rate	Body_Style
711	712	Bergmite	Ice	NaN	304	55	69	85	32	35	28	6	False	Blue	True	0.5	Monster	NaN	False	0.99	99.5	190	quadruped
712	713	Avalugg	Ice	NaN	514	95	117	184	44	46	28	6	False	Blue	True	0.5	Monster	NaN	False	2.01	505.0	55	quadruped
713	714	Noibat	Flying	Dragon	245	40	30	35	45	40	55	6	False	Purple	True	0.5	Flying	NaN	False	0.51	8.0	190	two_wings
714	715	Noivern	Flying	Dragon	535	85	70	80	97	80	123	6	False	Purple	True	0.5	Flying	NaN	False	1.50	85.0	45	two_wings
715	716	Xerneas	Fairy	NaN	680	126	131	95	131	98	99	6	True	Blue	False	NaN	Undiscovered	NaN	False	3.00	215.0	45	quadruped
716	717	Yveltal	Dark	Flying	680	126	131	95	131	98	99	6	True	Red	False	NaN	Undiscovered	NaN	False	5.79	203.0	45	two_wings
717	718	Zygarde	Dragon	Ground	600	108	100	121	81	95	95	6	True	Green	False	NaN	Undiscovered	NaN	False	5.00	305.0	3	serpentine_body
718	719	Diancie	Rock	Fairy	600	50	100	150	100	150	50	6	True	Pink	False	NaN	Undiscovered	NaN	True	0.71	8.8	3	head_arms
719	720	Hoopa	Psychic	Ghost	600	80	110	60	150	130	70	6	True	Purple	False	NaN	Undiscovered	NaN	False	0.51	9.0	3	head_only
720	721	Volcanion	Fire	Water	600	80	110	120	130	90	70	6	True	Brown	False	NaN	Undiscovered	NaN	False	1.70	195.0	3	quadruped

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Other Symbol

Dash Punctuation

Connector Punctuation

Decimal Number

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Misc Symbols

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Connector Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII